docstr: Dimensionality of the original space
  
  Returns
  -------
  Int
      Length of :attr:`dimensions`
docstr_tok: ["Dimensionality","of","the","original","space","Returns","--","--","--","-","Int","Length","of",":","attr",":","`","dimensions","`"]
code: def n_dims(self) -> int:
      """Dimensionality of the original space
  
      Returns
      -------
      Int
          Length of :attr:`dimensions`"""
      return len(self.dimensions)
  
imports: from hyperparameter_hunter.space.dimensions import Dimension, Real, Integer, Categorical
  from hyperparameter_hunter.utils.general_utils import short_repr
  from functools import reduce
  import numbers
  import numpy
  from sys import maxsize
  from sklearn.utils import check_random_state
  from sklearn.utils.fixes import sp_version
label_desc: Use image node_id 10 for calling the Space obj's underlying member method code with example usage: obj.n_dims() and returns: len